Paper 1
- What are the characteristics of anomaly detection?
- What are the detection problems and methods?
- What are the statistical approaches when there is an anomaly found?
- Compare and contrast proximity and clustering based approaches.
Paper 2
- What are the characteristics of data?
- Compare the difference in each of the following clustering types: prototype-based, density-based, graph-based.
- What is a scalable clustering algorithm?
- How do you choose the right algorithm?
